Course Content
- Real-Time Video Sensing: Modelling and processing.
- Real-Time Video Analytics: Motion analysis and object tracking (e.g., DeepSORT); video analytics using deep learning (e.g., C3D, Two-stream).
- Real-Time Audio and Speech Analytics: Through the utilisation of deep learning (e.g., wav2vec, conformers).
- Practicality: Practical case studies and workshops
This course is part of the
Artificial Intelligence and
Graduate Certificate in Intelligent Sensing Systems Series offered by NUS-ISS.
Key Takeaways
- Recognise the requirements and potential of real-time audio-visual sensing technologies across diverse industrial applications.
- Design and implement audio-visual sense-making methods tailored for industrial scenarios using machine learning.
- Evaluate the effectiveness and impact of various real-time audio-visual sense-making technologies.
- Critically analyse, evaluate, and synthesise information to address complex audio-visual sensing challenges.
Course Logistics
- No Printed Materials: Course materials are accessed digitally. Do kindly note that no printed copies of course materials will be issued.
- Device Requirements: Bring an internet-enabled device (laptop, tablet, etc) with power chargers to access and download course materials.
If you are bringing a laptop, kindly refer to the table below for the recommended tech specs:
|
Minimum
|
Recommended
|
Operating Systems
|
• Windows 7 above
• Mac OS
|
Laptop running the latest
version of either Windows or
Mac OS
|
System Type
|
32-bit
|
64-bit
|
Memory
|
8 GB RAM
|
16+ GB RAM
|
Hard Drive
|
256 GB disk size
|
|
Others
|
• An internet connection – broadband wired or wireless
• Installation permissions (non-company laptops)
• Keyboard
• Mouse/Trackpad
• Display
• Power adapter (laptop battery might run out) |
DirectX 10 graphics card for graphics hardware acceleration
|
Join Us
Register now to start your journey of mastering Audio-Visual Intelligence capabilities.
Preparing for Your Course
NUS-ISS Course Registration Terms and Conditions
Find out more.
NUS-ISS and Learner’s Commitment and Responsibilities
Find out more.
WIFI Access
WIFI access will be made available to participants.
Venue
NUS-ISS
25 Heng Mui Keng Terrace
Singapore 119615
Click HERE for directions to NUS-ISS
In the event of a change of venue, participants are advised to refer to the acceptance email sent one week prior to the commencement date.
Course Confirmation
All classes are subject to confirmation and NUS-ISS will send an acceptance email to participants one week prior to the commencement date. Confirmed registrants are to attend and complete all lectures, class exercises, workshops and assessments (where applicable). Additionally, all responses to feedbacks and surveys conducted by NUS-ISS and its partners must be submitted. All training and assessments will be delivered as described in the course webpage.
General Enquiry
Please feel free to write to ask-iss@nus.edu.sg if you have any enquiry or feedback.